bluemix pyspark在调用jdbc时发生错误

我在Bluemix中的Spark服务中使用pySpark来转换我的数据中的某些内容，然后将它写入DashDB中，也是在Bluemix中。但是当我尝试加载数据时，我收到以下错误：bluemix pyspark在调用jdbc时发生错误

Py4JJavaError：调用o111.jdbc时发生错误。：org.apache.spark.SparkException：由于阶段失败导致作业中止：阶段4.0中的任务0失败10次，最近失败：阶段4.0中丢失的任务0.9（TID 23，yp-spark-dal09-env5-0045）：com.ibm.db2.jcc.am.BatchUpdateException：[jcc] [t4] [102] [10040] [4.19.26]批量失败。该批次已提交，但该批次的单个成员中至少发生一次异常。使用getNextException（）检索特定批处理元素的异常。 ERRORCODE = -4229，SQLSTATE = null

我已经尝试创建一个新的DashDB，但收到相同的错误。然后，我试图创建另一个笔记本，但它也不起作用。我试图停止所有内核，并且每次只运行一个内核，都不起作用。

我试图从数据框中写入数据的所有笔记本都收到相同的错误，但在相同的情况下，数据已加载，而其他数据不是。

这是我用来写代码：

for num in range(0,22): 
(shared_df_first 
    .select(
     Func.col('Customer').alias("CUSTOMER"), 
     Func.col('Customer Environment').alias("CUST_ENV"), 
     Func.col('Device').alias("DEVICE"), 
     Func.col('User ID').alias("USER_ID"), 
     Func.col('Date').alias("DATE"), 
     Func.col('Time').alias("TIME"), 
     Func.col('Requester').alias("REQUESTER"), 
     Func.col('Manager').alias("MANAGER"), 
     Func.col('Manager Mail').alias("MANAGER_MAIL"), 
     Func.col('Ticket').alias("TICKET"), 
     Func.col('Request').alias("REQUEST"), 
     Func.col('Teste').alias("TESTE"), 
     Func.col('Approver USERID').alias("APPROVER_USERID"), 
     Func.col('Approver Name').alias("APPROVER_NAME"), 
     Func.col('Period in hours').alias("PERIOD"), 
     Func.col('Business Need').alias("BUSINESS_NEED"), 
     Func.col('Password Periodic Changable').alias("PASSWORD_PERIODIC_CHANGABLE"), 
     Func.col('Is Pre Approved?').alias("IS_PRE_APPROVED"), 
     Func.col('Has Personal User ID?').alias("HAS_PERSONAL_USER_ID"), 
     Func.col('Check in way').alias("CHECK_IN_WAY"), 
     Func.col('SLA').alias("SLA"), 
     Func.col('Invalid Business Need').alias("BUSINESS_NEED_INVALID") 
    ) 
    .write 
    .jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.WATSON_UAT_DEV", "append", propertiesDBDash 
) 
print num + 1 



df = ds_clean.toDF(["account_id","customer","device_name","device_os","user_id","user_id_type","creation_date","last_logon","password_is_never_expires","responsible", 
       "privileges","user_id_status"]) 
propertiesDBDash = { 
       "user":"dash014638", 
       "password":"pwd"} 
df.write.mode("append").jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.DORMANT_PROD",properties=propertiesDBDash) 

df = ds_clean.toDF(["REQUEST_NUMBER","TYPE_TICKET","SOLUTIONER","CUSTOMER","DELIVERY","OPEN_DATE","OPEN_TIME","CLOSE_DATE","CLOSE_TIME","SERVICE","DEVICE","PLATFORM","REQUESTER","REQUESTER_MANAGER_MAIL","SLA","ELAPSED_TIME","SLA_STATUS","URGENCY","ACTION","REQUEST_STATUS"]) 

propertiesDBDash = { 
       "user":"dash014638", 
       "password":"pwd"} 
df.write.mode("append").jdbc("jdbc:db2://bluemix05.bluforcloud.com:50000/BLUDB", "DASH014638.WATSON_REQUEST_NEW",properties=propertiesDBDash)

来源

2016-09-15 Bruno Hirata

它看起来像Bluemix不显示被检索dashDB所有错误。所以这里真正的问题是因为我试图插入比在dashDB中指定的数据字段更大的数据。

来源

2016-09-20 16:01:21

bluemix pyspark在调用jdbc时发生错误

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